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name xhs-content
description XiaoHongShu (小红书) content creation tool. Collects trending XHS notes by keyword, generates a topic research report, then produces XHS-style note drafts. Use when the user wants to: (1) research what's trending on XiaoHongShu/小红书 for a topic, (2) generate XHS note drafts, (3) find XHS content inspiration, or mentions "小红书", "XHS", "xiaohongshu", "xhs content", "xhs note".

XHS Content — 小红书选题采集 + 内容生成

从小红书采集热门笔记 → 汇总选题报告 → 生成笔记草稿。

Prerequisites

  • Python 3 — 运行采集脚本
  • xhs-cli — 小红书 CLI 工具 (pipx install xhs-cli 或 uv tool install xhs-cli)
  • 已登录 (xhs login — 支持 QR 码 / cookie / Chrome 自动提取)

Usage

给定一个关键词，执行三步流程：

Step 1: 采集

python3 scripts/xhs-search.py --keyword "<关键词>" --limit 30

采集结果自动保存到 data/<date>-<keyword>/sources.jsonl。

Step 2: 汇总报告

读取 sources.jsonl，生成选题报告 data/<date>-<keyword>/report.md，包含：

  • 话题热度概览（总笔记数、平均互动）
  • 热门角度分类（按标题/内容聚类）
  • Top 笔记摘要（标题、互动数据、核心观点）
  • 选题建议（基于数据的差异化切入点）
  • 全部采集笔记表格（标题、作者、赞/藏/评、链接，按互动量降序）

Step 3: 生成笔记

基于报告 + 固定 prompt，生成 1-3 篇小红书笔记草稿，保存到 data/<date>-<keyword>/drafts.md。

Workflow (for Claude)

When this skill is triggered:

  1. Ask user for keyword (if not provided)
  2. Run xhs-search.py to collect posts → save JSONL
  3. Read JSONL, generate report markdown
  4. Read report + references/prompt.md, generate note drafts
  5. Present drafts to user for review

Data Directory

All outputs go to .claude/skills/xhs-content/data/<date>-<keyword>/:

  • sources.jsonl — raw collected posts
  • report.md — topic research report
  • drafts.md — generated note drafts

References

  • references/prompt.md — Fixed generation prompt with XHS style rules